Amazon RDS vs Google Cloud SQL comparison

Amazon Web Services (AWS) and Google are both solutions in the Database as a Service (DBaaS) category. Amazon Web Services (AWS) is ranked #2 with an average rating of 8.3, while Google is ranked #7 with an average rating of 7.7. Amazon Web Services (AWS) holds a 12.6% mindshare in DS, compared to Google’s 6.6% mindshare. Additionally, 98% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Amazon RDS

Read 59 Amazon RDS reviews

7,974 Views
7,017 Comparison Views

98% willing to recommend

Google Cloud SQL

Read 24 Google Cloud SQL reviews

4,063 Views
3,372 Comparison Views

100% willing to recommend

Amazon RDS

Google Cloud SQL

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 3, 2026

Amazon RDS and Google Cloud SQL are popular managed database services competing in the cloud database category. Amazon RDS appears to have the upper hand in cost-efficiency and supports more database engines, while Google Cloud SQL is noted for its integration and initial affordability.

Features: Amazon RDS provides a fully managed database environment with support for multiple engines like MySQL, Oracle, and PostgreSQL, automated administrative tasks, and strong encryption via KMS. Google Cloud SQL offers high availability options, integration with other Google Cloud services, and a flexible, scalable environment for SQL workloads.

Room for Improvement: Amazon RDS could enhance feature availability, improve Microsoft product integration, and provide clearer pricing and more accessible support. Google Cloud SQL needs better documentation and support for complex operations, enhanced integration capabilities, and improved AI functionalities in query analytics.

Ease of Deployment and Customer Service: Both Amazon RDS and Google Cloud SQL support public cloud deployments, with Amazon RDS also supporting hybrid setups. Customer service is adequate for both, though users desire more responsive support at premium tiers, with Amazon's segmented support response depending on service level agreements.

Pricing and ROI: Amazon RDS offers significant ROI through cost optimization and reduced database management needs, making it cost-effective despite potential pricing transparency issues. Google Cloud SQL is affordable, particularly with its community-source licensing, and both platforms show strong ROI across various scenarios.

To learn more, read our detailed Amazon RDS vs. Google Cloud SQL Report (Updated: August 2026).

Buyer's Guide

Amazon RDS vs. Google Cloud SQL

August 2026

Download the complete report

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon RDS

Ranking in Database as a Service (DBaaS)

2nd

Ranking in Relational Databases Tools

8th

Average Rating

8.4

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud SQL

Ranking in Database as a Service (DBaaS)

7th

Ranking in Relational Databases Tools

18th

Average Rating

8.2

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Database Management Systems (DBMS) (10th)

Mindshare comparison

As of August 2026, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 12.6%, down from 22.2% compared to the previous year. The mindshare of Google Cloud SQL is 6.6%, down from 13.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
Amazon RDS	12.6%
Google Cloud SQL	6.6%
Other	80.8%

Database as a Service (DBaaS)

Featured Reviews

reviewer2592669

Director Software Engineer at a computer software company with 10,001+ employees

Positive experiences with database services, with minor room for feature enhancements observed

I don't really see any disadvantages of Amazon RDS. With Oracle, I think AWS doesn't provide the RAC stability. If you have Oracle installed in your own data centers, you can set up various clusters and we can set up the RACs, but in Amazon RDS, we cannot have the RAC feature of Oracle. They could add that feature. Amazon RDS has limitations regarding RAC. If we talk about installing Oracle in RDS, we cannot have the RAC, but if you deploy Oracle on GCP, then there is probably the RAC feature available. I observed that around two or three years back, but I'm not sure whether they have added the RAC feature in AWS. Amazon RDS is expensive compared to GCP. GCP also has the same features, and although it is quite extensive and feature-rich, I see Amazon RDS as slightly expensive compared to other clouds.

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RituRaj

SDE 2 at Virtusa

Drag and drop workflows have simplified data mapping and currently improve my cloud database work

The IPaaS Connector, which I have found most valuable, is part of Google Cloud SQL. Google Cloud's user interface is really good, which improves efficiency in my database operations. The UI is excellent, making it easier to understand what we are doing. Currently, I am working on IPaaS Connector, so it is really just a clickable interface without writing any code. I simply use drag and drop and connecting lines, and it is working. Google Cloud SQL's global infrastructure improves our database's latency metrics because we are using Gemini in our project. Since both are products of Google, it makes our product faster.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It makes it easy to administer the database. It helps to scale your database by providing Read Replicas, which reduce transaction time. It is highly available and durable which helps in disaster recovery and management."

"For me, RDS is a great solution, and I like that Amazon RDS is a very simple solution to implement and to start using."

"The biggest advantage of Amazon RDS, which is basically an AWS service, is that you can customize it."

"The solution has unique features like backup and recovery, and snapshots. It upgrades automatically. The solution offers easy analytics concerning performance metrics. Its reliability and scalability are very good. The tool's most valuable features are disaster recovery, high availability and scalability."

"It handles large-scale data migrations perfectly. Amazon RDS's performance is quite good. Charges are incurred after you utilize the service"

"Amazon RDS provides data encryption using services like KMS, crucial for securing high-sensitive data and meeting compliance requirements such as HIPAA or PCI DSS."

"The time to install or set up a database environment is very fast."

"Amazon RDS is quite a well-managed and stable service...The initial setup was very easy."

More Amazon RDS pros

"Google Cloud SQL is very easy to use and easy to set up; it brings the benefits of being simple to perform queries, store data that I needed to store, and extract data when I needed to extract it quite quickly, without having to set up a full database and queries around it."

"I found its storage and security to be the most valuable. It was a good experience. It is also very stable and scalable, and its support is perfect."

"Its most valuable feature is that it's scalable; I can start off with a base of a lot of data and move as much as I want without a lot of infrastructure changes, so I can run a release model experiment on a thousand people and, if that experiment is a success, run it on a million people without any changes while keeping it much more cost-sensitive for me to do it."

"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."

"It's all built into the web browser, so any operating system will work."

"The product is scalable."

"The most valuable features are that it's easy to use, simple, and user-friendly."

"This is a stable solution and offers good performance."

More Google Cloud SQL pros

Cons

"The technical support from Amazon could improve. I would rate them a six out of ten as they do not fully meet my expectations."

"They should add a feature for manual SQL patching in RDS."

"One of the challenges of AWS RDS is that it doesn't support performance insight. So we need to write our own script or use third-party tools."

"I don't think it's very scalable. In comparison, Microsoft Azure has many options."

"I also don't think it's very scalable."

"Sometimes the interface has many moving parts, which is a concern."

"It would be better if it integrated seamlessly with Microsoft products. Our clients use the Microsoft Tally application server. We already tried to create a reputation from, for example, an on-premises environment from our client to Amazon RDS using Microsoft Tally server, and we couldn't do that because we didn't have a strong user in RDS. We couldn't create a reputation from an on-premises environment from the Microsoft Tally server to RDS. I think that it would be a good implementation, and it would help us with this case."

"Amazon RDS could improve by having more sophisticated. I use other solutions that have better technology for more difficult tasks."

More Amazon RDS cons

"The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use."

"For write operations – yes, as there is no MySQL clustering mode."

"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."

"When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise."

"For data analysis, the AI area of the product has certain shortcomings where improvements are required."

"The most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."

"Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products."

"In the case of Google, they need to work on a more easy interface for users."

More Google Cloud SQL cons

Pricing and Cost Advice

"Amazon RDS is not a very expensive solution."

"In my case, MySQL is free, and if there are any costs, then it is much less than other solutions since all such things usually come bundled with the hardware."

"The price of Amazon RDS is reasonable."

"AWS is becoming pretty expensive because cheap or absolutely free services have become paid services. Amazon RDS is not an expensive product, but Amazon's ecosystem is becoming increasingly expensive."

"if you don't know how to optimize and use your tool properly, the cost might hurt you."

"Amazon RDS is less expensive than other solutions."

"Amazon RDS is cheaper compared to other tools."

"The price could be better."

More Amazon RDS pricing and cost advice

"It is not expensive, especially considering the significant reduction in database management time."

"You need to pay extra costs for backup and replication."

"The pricing is very much an important factor as to why we use this solution."

"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."

"The solution is affordable."

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."

"From a financial perspective, Google Cloud SQL is on the cheaper side."

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Top Industries

By visitors reading reviews

Construction Company

10%

Financial Services Firm

10%

Computer Software Company

University

Financial Services Firm

15%

Educational Organization

13%

Computer Software Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	23
Midsize Enterprise	16
Large Enterprise	24

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	10

Questions from the Community

What is your experience regarding pricing and costs for Amazon RDS?

The pricing for Amazon RDS is reasonable.

See all answers

What needs improvement with Amazon RDS?

I think Amazon RDS can be improved or enhanced if it can be implemented with other monitoring tools such as Percona. Currently, I am trying to add Percona monitoring for monitoring in addition to i...

See all answers

What is your primary use case for Amazon RDS?

Amazon RDS is typically used for AI applications. I am developing it for an AI recruitment agent and for collecting data for HRIS, Software as a Service for a workforce as a service, and storing data.

See all answers

What is your experience regarding pricing and costs for Google Cloud SQL?

We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.

See all answers

What needs improvement with Google Cloud SQL?

I would to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Con...

See all answers

What is your primary use case for Google Cloud SQL?

I am not working with Oracle; everything I am working on is on Google. I would like to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I ha...

See all answers

Comparisons

MongoDB Atlas vs Amazon RDS

Compared 11% of the time

Microsoft Azure SQL Database vs Amazon RDS

Compared 8% of the time

Oracle Database as a Service vs Amazon RDS

Compared 6% of the time

Azure Database for PostgreSQL vs Amazon RDS

Compared 5% of the time

Yugabyte Cloud vs Amazon RDS

Compared 5% of the time

More Amazon RDS Competitors

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 14% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 14% of the time

Amazon Aurora vs Google Cloud SQL

Compared 7% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 6% of the time

EDB Ark vs Google Cloud SQL

Compared 5% of the time

More Google Cloud SQL Competitors

Product Reports

Buyer's Guide

Amazon RDS

August 2026

Download Amazon RDS product report

Buyer's Guide

Google Cloud SQL

August 2026

Download Google Cloud SQL product report

Also Known As

RDS

No data available

Overview

Amazon RDS offers scalability, high availability, and security. It supports multiple database engines and facilitates automated backups and data encryption, with a focus on user-friendly features.

Amazon RDS is a managed database service supporting engines like MySQL and PostgreSQL. It enhances resilience through Multi-AZ deployments and integrates with tools like CloudWatch for monitoring and cost management. Users appreciate its ease of use, performance insights, and the reduction in administrative tasks which enable them to concentrate on business objectives. However, some users find interface complexity and administrative privilege needs challenging, along with migration difficulties.

What are the key features of Amazon RDS?

Scalability: Supports storage and read replicas to handle growing data needs.
High Availability: Multi-AZ deployments ensure database resilience.
Security: Features such as data encryption and automated backups protect data.

What benefits should users expect?

Streamlined Administration: Reduces time spent on database management.
Improved Performance: Access to performance insights for optimization.
Cost Efficiency: Monitoring tools help manage and reduce costs.

In industries like web development, fintech, and e-commerce, Amazon RDS is utilized to optimize database handling, ensure high availability, and facilitate secure data transactions. Organizations often use AWS migration tools to transition from on-premises infrastructures to cloud environments, benefiting from managed services to focus on enhancement rather than maintenance.

Amazon Web Services (AWS)

Google Cloud SQL provides a fully managed database service underscoring ease of use, scalability, and integration with Google Cloud Platform services.

This platform facilitates database operations from automated backups to high availability, supporting databases like Postgres and MySQL. Its intuitive design eases management, while robust features like multi-region support and automatic scaling cater to developers seeking efficient infrastructure management without the burden of extensive backend tasks. Users from industries requiring scalable applications find it especially useful for its seamless integration with development projects and minimal maintenance demands, enabling a focus on innovative application development.

What are the standout features of Google Cloud SQL?

Automated Backups: Ensures data safety by automatically backing up databases.
Read Replicas: Enhances performance and availability with read operations across multiple copies.
Scalability: Provides dynamic scaling to handle workload changes efficiently.
High Availability: Offers reliable uptime with regional failover solutions.
Customization Flexibility: Adapts to specific needs with varied instance configurations.

What benefits should users explore in reviews?

Ease of Management: Simplifies database tasks allowing developers to concentrate on building applications.
Integration: Seamlessly connects with Google Cloud services enhancing operational capabilities.
Global Accessibility: Facilitates access to data from anywhere, supporting international operations.
Cost Efficiency: Reduces costs through its managed services model, reducing infrastructure overhead.

Industries leverage Google Cloud SQL within mobile applications, web frameworks, and marketing analytics. It supports hosting solutions in microservices and private VPC environments extending its use across internal and external infrastructure systems. By simplifying maintenance and migration from on-premises databases, companies achieve reliability and enhance their data management strategies.

Google

Sample Customers

Edmodo

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync

Buyer's Guide

Amazon RDS vs. Google Cloud SQL

August 2026

Free Report: Amazon RDS vs. Google Cloud SQL

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